Triple
T7606601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irtysh River |
E180119
|
entity |
| Predicate | nameInChinese |
P4878
|
FINISHED |
| Object | 额尔齐斯河 |
E180119
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 额尔齐斯河 | Statement: [Irtysh River, nameInChinese, 额尔齐斯河]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 额尔齐斯河 Context triple: [Irtysh River, nameInChinese, 额尔齐斯河]
-
A.
Aksu River
The Aksu River is a major river in northwestern China and Kyrgyzstan that forms the principal headwater of the Tarim River in the arid Tarim Basin.
-
B.
Bolshaya Almatinka River
The Bolshaya Almatinka River is a mountain river in southeastern Kazakhstan that flows through the city of Almaty, supplying it with water and shaping its surrounding landscapes.
-
C.
Barguzin River
The Barguzin River is a major river in eastern Siberia, Russia, that flows through the Barguzin Valley before emptying into Lake Baikal.
-
D.
Irtysh River
chosen
The Irtysh River is a major river in Central Asia and Western Siberia that flows through China, Kazakhstan, and Russia before joining the Ob River.
-
E.
Kyzyl-Suu River
The Kyzyl-Suu River is a Central Asian mountain river that serves as one of the principal headwaters of the Vakhsh River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fe10408190b1c12bb8f911cea8 |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86857db14819086d5ebd825d30e77 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:54 p.m.